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Programming Utilizing Problem Structure in Planning: A Local Search Approach

Posted on 2010-03-16




Name:Programming Utilizing Problem Structure in Planning: A Local Search Approach
ASIN/ISBN:3540202595
Language:English
File size:2 Mb
Publisher: Springer-Verlag 2004
Pages: 251 Pages
ISBN: 3540202595
File Type: PDF
File Size: 2 MB
   Programming Utilizing Problem Structure in Planning: A Local Search Approach

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Utilizing Problem Structure in Planning: A Local Search Approach By J. Hoffmann

Planning is a crucial skill for any autonomous agent, be it a physically embedded agent, such as a robot, or a purely simulated software agent. For this reason, planning, as a central research area of artificial intelligence from its beginnings, has gained even more attention and importance recently.

After giving a general introduction to AI planning, the book describes and carefully evaluates the algorithmic techniques used in fast-forward planning systems (FF), demonstrating their excellent performance in many wellknown benchmark domains. In advance, an original and detailed investigation identifies the main patterns of structure which cause the performance of FF, categorizing planning domains in a taxonomy of different classes with respect to their aptitude for being solved by heuristic approaches, such as FF. As shown, the majority of the planning benchmark domains lie in classes which are easy to solve.

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